CN211209824U - Intelligent security monitoring system for community - Google Patents
Intelligent security monitoring system for community Download PDFInfo
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- CN211209824U CN211209824U CN201922456971.8U CN201922456971U CN211209824U CN 211209824 U CN211209824 U CN 211209824U CN 201922456971 U CN201922456971 U CN 201922456971U CN 211209824 U CN211209824 U CN 211209824U
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 23
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- 238000013473 artificial intelligence Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 6
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Abstract
The utility model discloses an intelligent security monitored control system of community, including being used for gathering interior image of elevator box and video image acquisition unit, be connected with the control unit on the image acquisition unit, be connected with the ladder accuse system of control elevator action on the control unit and carry out the processing unit who handles image and video information to image acquisition unit collection. The utility model discloses an image processing, mode identification and computer vision technique, through increase intelligent video analysis module in monitored control system, filter useless or interference information of video picture with the help of the powerful data processing ability of computer, the different objects of automatic identification, the key useful information in the analysis extraction video source, quick accurate location accident scene, judge the abnormal conditions in the control picture, and send out the police dispatch newspaper or trigger other actions with fastest and best mode, thereby effectively carry out early warning in advance, handle in the trouble, the full-automatic of in time collecting evidence in the future, all-weather, real time monitoring's intelligent system.
Description
Technical Field
The utility model relates to a monitored control system, concretely relates to intelligent security protection monitored control system of community belongs to security protection supervisory equipment technical field.
Background
With the rapid development of science and technology, elevators are visible everywhere in real life and become a main tool for people to go upstairs and downstairs.
However, the existing elevator can only realize up-and-down transportation of people, and cannot identify that articles which do not conform to the regulations enter the elevator, so that the running safety of the elevator is affected, and although the existing elevator control equipment on the market can identify the articles which do not conform to the regulations (such as an electric vehicle and a bicycle), the elevator control equipment on the market has the defects of high false identification rate and capability of identifying the electric vehicle only in the front direction, and once the electric vehicle is pushed backwards to enter the elevator, the electric vehicle cannot be identified accurately.
SUMMERY OF THE UTILITY MODEL
The to-be-solved technical problem of the utility model is to overcome the above-mentioned not enough of prior art, provide an intelligent security monitored control system of community.
In order to solve the above problem, the utility model adopts the following technical scheme: the intelligent security monitoring system for the community comprises an image acquisition unit for acquiring images and videos in an elevator box, wherein the image acquisition unit is connected with a control unit, and the control unit is connected with a elevator control system for controlling the elevator to act and a processing unit for processing the images and video information acquired by the image acquisition unit.
The following is the utility model discloses to the further optimization of above-mentioned scheme: the image acquisition unit comprises two cameras which are symmetrically arranged.
Further optimization: the two cameras are arranged at two ends of one side of the top of the elevator box body, which is far away from the elevator door.
Further optimization: the control unit comprises an embedded mainboard, and a processor, a USB interface, a camera interface, a display interface, an audio output interface, a wireless network card and Bluetooth are arranged on the embedded mainboard.
Further optimization: and a Tensorflow artificial intelligence algorithm is arranged in the processor.
Further optimization: the processing unit comprises a neural operation board.
Further optimization: and the embedded mainboard is connected with a power management module.
Further optimization: the embedded mainboard is connected with the background through a TCP/IP protocol through a network.
Further optimization: the control unit and the processing unit are mounted in a housing which is mounted on the elevator car.
During the use, when the unusual object gets into a certain fixed space, intelligent security monitoring terminal utilizes monitoring camera can monitor this space picture, through the artificial intelligent algorithm of the Tensorflow of embedded mainboard embedding, the discernment detects that there is the unusual object to get into in this space, intelligent security monitoring terminal will take a candid photograph unusual information in this space, and pass through network communication module propelling movement to management backstage with unusual picture, real-time synthesis pronunciation warning is reminded simultaneously, can also control this regional lock through board-mounted signal output, the process of whole image identification does not need the participation of internet high in the clouds completely, unusual object identification is the real-time edge calculation of going on embedded system, avoid network fault influence equipment work, also can reduce the extensive input of equipment such as rear-end server.
The utility model discloses an image processing, mode identification and computer vision technique, through increase intelligent video analysis module in monitored control system, filter useless or interference information of video picture with the help of the powerful data processing ability of computer, the different objects of automatic identification, the useful information of key in the analysis extraction video source, quick accurate location accident scene, judge the abnormal conditions in the control picture, and send out the police dispatch newspaper or trigger other actions with fastest and best mode, thereby effectively carry out early warning in advance, handle in the past, the full-automatic of in time collecting evidence in the future, all-weather, real time monitoring's intelligent system, provide the foundation of discernment record and hierarchical management simultaneously for the owner.
The present invention will be further explained with reference to the drawings and examples.
Drawings
Fig. 1 is a system diagram of the present invention in an embodiment.
Detailed Description
In an embodiment, as shown in fig. 1, the community intelligent security monitoring system comprises an image acquisition unit for acquiring images and videos in an elevator cage, the image acquisition unit is connected with a control unit, and the control unit is connected with an elevator control system for controlling the elevator to move and a processing unit for processing the images and video information acquired by the image acquisition unit.
The image acquisition unit comprises two cameras which are symmetrically arranged, the two cameras are arranged at two ends of the top of the elevator box body, which are far away from one side of the elevator door, and therefore the design can be used for carrying out video and image acquisition in the elevator box body in an all-round mode.
The camera adopts a wide-angle miniature camera with definition of more than 720P and is used for acquiring information in the elevator box body.
The control unit comprises an embedded mainboard, a prepositioned Tensorflow artificial intelligence algorithm in the embedded mainboard is used for capturing abnormal pictures in monitoring pictures in real time, abnormal information is transmitted to the central machine room through network equipment, and supervision personnel feel early warning information more visually and efficiency is more convenient.
The TensorFlow is an open source software library which adopts a data flow graph and is used for numerical calculation, a machine learning classification algorithm is realized by utilizing the TensorFlow, more accurate object recognition can be realized by constructing a training model, and the TensorFlow algorithm library is used without concerning too many algorithm implementation details, so that the TensorFlow is relatively simple to realize.
The embedded mainboard adopts the existing universal embedded host Raspberry Pi 3B +, and the performance is as follows:
1. a 64-bit 1.4GHz quad-core ARM Cortex-A53 processor, which is onboard with a wireless network card and Bluetooth 4.2 supporting 2.4GHz and 5GHz dual-frequency bands and can run a full-series ARM GNU/L inux release;
2. the device comprises a 1GB memory, an HDMI interface, a USB 2.0 interface x4, a MicroSD card slot, a 3.5 mm audio output interface, a 40PIN GPIO interface, a CSI camera interface, a DSI display interface and 1 kilomega network port;
3. the size dimension 85x56 mm.
The processing unit comprises a neural operation board, the neural operation board adopts an operation board with the model number of RK1808, and the neural operation board is packaged with an NPU (neural network unit) with the computational power of 3 TOPs; the embedded mainboard is communicated with the neural operation board through the usb, the embedded mainboard acquires a real-time monitoring picture through the camera, image information is transmitted to the neural operation board through the usb, the neural operation board conducts inference prediction on the image information, and a result is fed back to the embedded mainboard after inference is completed.
The control unit is connected with a voice module, the voice module is a power amplifier or a loudspeaker sold in the market, and the voice module is connected with an audio interface on the embedded mainboard.
The embedded main board performs logical operation and judgment according to the result fed back by the processing unit so as to control the voice module and the elevator control module (an elevator control system or an elevator control system) to act, and the whole system can recognize the frame rate up to 30fps under the acceleration of the neural operation board, so that the elevator control scene can be completely met.
The embedded mainboard is connected with the hardware configured on the site through Bluetooth or wifi to realize the expansion of corresponding functions and increase the functions of the system.
And the embedded mainboard is also connected with a commercially available power management module for realizing management and optimization of the electric energy of the system.
The embedded main board is connected with a background through a TCP/IP protocol through a network, and the background comprises a display for displaying information in the elevator cage and a controller for remotely sending instructions to the control unit.
The embedded main board and the neural operation board are both installed in a shell with a rectangular cross section, and the shell is installed on an elevator box body.
During the use, when the unusual object gets into a certain fixed space, intelligent security monitoring terminal utilizes monitoring camera can monitor this space picture, through the artificial intelligent algorithm of the Tensorflow of embedded mainboard embedding, the discernment detects that there is the unusual object to get into in this space, intelligent security monitoring terminal will take a candid photograph unusual information in this space, and pass through network communication module propelling movement to management backstage with unusual picture, real-time synthesis pronunciation warning is reminded simultaneously, can also control this regional lock through board-mounted signal output, the process of whole image identification does not need the participation of internet high in the clouds completely, unusual object identification is the real-time edge calculation of going on embedded system, avoid network fault influence equipment work, also can reduce the extensive input of equipment such as rear-end server.
The utility model discloses an image processing, mode identification and computer vision technique, through increase intelligent video analysis module in monitored control system, filter useless or interference information of video picture with the help of the powerful data processing ability of computer, the different objects of automatic identification, the useful information of key in the analysis extraction video source, quick accurate location accident scene, judge the abnormal conditions in the control picture, and send out the police dispatch newspaper or trigger other actions with fastest and best mode, thereby effectively carry out early warning in advance, handle in the past, the full-automatic of in time collecting evidence in the future, all-weather, real time monitoring's intelligent system, provide the foundation of discernment record and hierarchical management simultaneously for the owner.
Having shown and described the basic principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof, and it is therefore intended that the embodiments be considered as exemplary and not limiting in any way, since the scope of the invention is defined by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein and are therefore not to be embraced therein by any reference numerals in the claims.
Claims (9)
1. Intelligent security monitored control system of community, its characterized in that: the elevator control system comprises an image acquisition unit for acquiring images and videos in an elevator box, wherein the image acquisition unit is connected with a control unit, and the control unit is connected with an elevator control system for controlling the elevator to move and a processing unit for processing the images and video information acquired by the image acquisition unit.
2. The community intelligent security monitoring system of claim 1, wherein: the image acquisition unit comprises two cameras which are symmetrically arranged.
3. The community intelligent security monitoring system of claim 2, wherein: the two cameras are arranged at two ends of one side of the top of the elevator box body, which is far away from the elevator door.
4. The community intelligent security monitoring system of claim 1, wherein: the control unit comprises an embedded mainboard, and a processor, a USB interface, a camera interface, a display interface, an audio output interface, a wireless network card and Bluetooth are arranged on the embedded mainboard.
5. The community intelligent security monitoring system according to claim 4, wherein: and a Tensorflow artificial intelligence algorithm is arranged in the processor.
6. The community intelligent security monitoring system of claim 1, wherein: the processing unit comprises a neural operation board.
7. The community intelligent security monitoring system according to claim 4, wherein: and the embedded mainboard is connected with a power management module.
8. The community intelligent security monitoring system according to claim 4, wherein: the embedded mainboard is connected with the background through a TCP/IP protocol through a network.
9. The community intelligent security monitoring system of claim 1, wherein: the control unit and the processing unit are mounted in a housing which is mounted on the elevator car.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201922456971.8U CN211209824U (en) | 2019-12-31 | 2019-12-31 | Intelligent security monitoring system for community |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201922456971.8U CN211209824U (en) | 2019-12-31 | 2019-12-31 | Intelligent security monitoring system for community |
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| CN211209824U true CN211209824U (en) | 2020-08-07 |
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| CN201922456971.8U Active CN211209824U (en) | 2019-12-31 | 2019-12-31 | Intelligent security monitoring system for community |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112085527A (en) * | 2020-09-08 | 2020-12-15 | 北京精英系统科技有限公司 | Multimedia delivery method, system and device in elevator |
| CN112511252A (en) * | 2020-12-08 | 2021-03-16 | 江西赣鄱云新型智慧城市技术研究有限公司 | Intelligent joint defense joint control system for community management |
| CN113419445A (en) * | 2021-06-08 | 2021-09-21 | 合肥云通物联科技有限公司 | Intelligent elevator control system and control method based on Internet of things and AI |
| CN114895609A (en) * | 2022-06-27 | 2022-08-12 | 中国电信股份有限公司 | Machine room monitoring method, device, equipment and medium |
-
2019
- 2019-12-31 CN CN201922456971.8U patent/CN211209824U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112085527A (en) * | 2020-09-08 | 2020-12-15 | 北京精英系统科技有限公司 | Multimedia delivery method, system and device in elevator |
| CN112511252A (en) * | 2020-12-08 | 2021-03-16 | 江西赣鄱云新型智慧城市技术研究有限公司 | Intelligent joint defense joint control system for community management |
| CN113419445A (en) * | 2021-06-08 | 2021-09-21 | 合肥云通物联科技有限公司 | Intelligent elevator control system and control method based on Internet of things and AI |
| CN114895609A (en) * | 2022-06-27 | 2022-08-12 | 中国电信股份有限公司 | Machine room monitoring method, device, equipment and medium |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of utility model: Community intelligent security monitoring system Effective date of registration: 20211220 Granted publication date: 20200807 Pledgee: Leshang Bank Co.,Ltd. Rizhao Branch Pledgor: Rizhao Antai Technology Development Co.,Ltd. Registration number: Y2021980015469 |
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| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Granted publication date: 20200807 Pledgee: Leshang Bank Co.,Ltd. Rizhao Branch Pledgor: Rizhao Antai Technology Development Co.,Ltd. Registration number: Y2021980015469 |